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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
JoVE 杂志
神经科学
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JoVE 杂志 神经科学
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

DOI:
10.3791/55133-v

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12:27 min

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February 15, 2017

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1Physiology & Neurobiology,Geisel School of Medicine at Dartmouth

Chapters

  • 00:05Title
  • 01:15Neuronal Reconstruction: Cell Body
  • 04:25Neuronal Reconstruction: Dendritic Arbors
  • 08:29Independent Clustering
  • 09:24Results: Independent Clustering of 160 TRN Neurons
  • 11:35Conclusion

Summary

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This protocol describes large-scale reconstructions of selective neuronal populations, labeled following retrograde infection with a modified rabies virus expressing fluorescent markers, and independent, unbiased cluster analyses that enable comprehensive characterization of morphological metrics among distinct neuronal subclasses.

Tags

Neuron ReconstructionMorphological MetricsUnbiased ClusteringNeuroanatomical Data AnalysisEGFP-labeled NeuronsDendritic ArborizationNeuronal Subclasses

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